ABSTRACT

This paper presents a novel concept of measurement in the area of single and multi phase flow instrumentation to build in real-time the two dimensional cross section of a fluid passing through the pipe. The principle of operation consists of fitting a multitude of intercommunicating miniature wireless sensor network devices within the cross section of the probe. Each of these sensing elements integrates an electrode to measure the electrical conductivity of the process flow using the Electrical Impedance Tomography (EIT) technique. Other sensors such as the pressure, capacitance, and ultrasonic sensors might be added in the future to provide more complementary information on the electrical and acoustic properties of the process fluid. The digitalized data is then transferred to an external remote transmitter which performs in real-time the two dimensional reconstruction of the image of the flow passing through the sensors array. This transmission of data is done in a time multiplexing manner, avoiding data collision, where each sensing node is allocated a predefined time slot. The cross sectional tomography images of static images which are reconstructed offline using this concept are presented.

Keywords:
cross section, petroleum institute, fluid dynamics, multiphase 7, artificial intelligence, new wireless sensor-based tomographic device, sensor, reconstruction algorithm, pipe, bhr group 2010
Subjects:
Reservoir Fluid Dynamics, Information Management and Systems, Artificial intelligence, Multiphase flow
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2010. BHR Group 2010 Multiphase 7
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